98%
921
2 minutes
20
Respiratory syncytial virus (RSV) infection is correlated with the chronic pathogenesis and exacerbation of asthma. However, the mechanism remains unclear. In this study, acute and memory (Mem) asthma models with early RSV infection are established to explore the persistence of the effects of RSV infection on asthma. Intravascular injection of an anti-CD45 antibody is performed to define CD4 TRM cells accurately. RSV infection has a sustained impact on asthma exacerbation for at least six weeks, with high Th2 cytokine secretion in lung tissue instead of IgE response-related B cells. CD45 CD4 TRM cells are positively correlated with RSV-related asthma exacerbation and severe airway inflammation. Mechanistically, overexpression of the transcription factor PLZF increases the number of CD4 TRM cells, and conditional knockout of (encoding PLZF) can decrease the number of CD4 TRM cells to aggravate allergic inflammation and reduce Th2 responses. This study provides evidence for potential combined strategies that might benefit asthma patients.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12247139 | PMC |
http://dx.doi.org/10.3724/abbs.2024220 | DOI Listing |
Pediatr Infect Dis J
September 2025
From the Paediatric Emergency Service and Infectious Diseases Unit, Hospital Pediátrico de Coimbra, Unidade Local de Saúde de Coimbra, Coimbra, Portugal.
Background And Objectives: Respiratory syncytial virus (RSV) is recognized as a major cause of wintertime illness in children. Two forms of immunization to protect infants against severe infection have recently been approved. Information on the effects of infections on health-related quality of life (HRQoL) supports well-informed policy decisions.
View Article and Find Full Text PDFInfection
September 2025
General Intensive Care Unit, University Hospital Southampton NHS Foundation Trust, Tremona Road, Southampton, SO16 6YD, UK.
Introduction: Severe viral infections are common in patients requiring admission to intensive care units (ICU). Furthermore, these patients often have additional secondary or co-infections. Despite their prevalence, it remains uncertain to what extent those additional infections contribute to worse outcomes for patients with severe viral infections requiring ICU admission.
View Article and Find Full Text PDFBMJ Paediatr Open
September 2025
Division of Medical Critical Care, Boston Children's Hospital, Boston, Massachusetts, USA.
Background: Limited evidence exists on the additive risk of bradycardia in children with respiratory syncytial virus (RSV) bronchiolitis receiving dexmedetomidine (DMED). We aim to study the association between RSV bronchiolitis and bradycardia during DMED administration.
Methods: This retrospective cohort study included 273 children under 2 years old admitted to the intensive care units at Boston Children's Hospital with severe bronchiolitis and sedated with DMED from 2009 to 2022.
PLoS Pathog
September 2025
Institut de Chimie des Substances Naturelles, CNRS, Université Paris-Saclay, Gif-sur-Yvette, France.
Respiratory syncytial virus (RSV), the most common cause of bronchiolitis and pneumonia in infants, elicits a remarkably weak innate immune response. This is partly due to type I interferon (IFN) antagonism by the non-structural RSV NS1 protein. It was recently suggested that NS1 could modulate host transcription via an interaction with the MED25 subunit of the Mediator complex.
View Article and Find Full Text PDFBiosaf Health
August 2025
Public Health Emergency Management Innovation Center, School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, State Key Laboratory of Respiratory Health and Multimorbidity, Key Laboratory of Pathogen Infection Prevention and Control (Pek
Progression of acute respiratory infection (ARI) to pneumonia increases severity and healthcare burden. Limited evidence exists on using machine learning to identify predictors from demographics, clinical, and pathogen detection data. This study aimed to identify pneumonia predictors in ARI patients using machine learning methods.
View Article and Find Full Text PDF